Yin, Z.; Lei, Z.; Zheng, A.; Zhu, J.; Liu, X.-Z. Automatic Detection and Association Analysis of Multiple Surface Defects on Shield Subway Tunnels. Sensors2023, 23, 7106.
Yin, Z.; Lei, Z.; Zheng, A.; Zhu, J.; Liu, X.-Z. Automatic Detection and Association Analysis of Multiple Surface Defects on Shield Subway Tunnels. Sensors 2023, 23, 7106.
Yin, Z.; Lei, Z.; Zheng, A.; Zhu, J.; Liu, X.-Z. Automatic Detection and Association Analysis of Multiple Surface Defects on Shield Subway Tunnels. Sensors2023, 23, 7106.
Yin, Z.; Lei, Z.; Zheng, A.; Zhu, J.; Liu, X.-Z. Automatic Detection and Association Analysis of Multiple Surface Defects on Shield Subway Tunnels. Sensors 2023, 23, 7106.
Abstract
The surface defects of shield subway tunnel can significantly affect the serviceability of the tunnel structure and may compromise the operation safety. To effectively detect the multiple surface defects, this research employs a tunnel inspection trolley (TIT) based on the mobile laser scanning technique. By conducting the inspection of the shield tunnel on a metro line section, various surface defects are identified by the TIT, including water leakage defect, dislocation, spalling, cross-section deformation, etc. To explore the root causes of the surface defects, the association rules between different defects are calculated via an improved Apriori algorithm. Results show that: i) there are significant differences in different association rules of various surface defects of the shield tunnel; ii) the average confidence of the association rule “dislocation & spalling → water leakage” is as high as 57.78%, indicating that most of the water leakage defects are caused by dislocation and spalling of the shield tunnel in the sections being inspected; iii) the weakest rule appears at “water leakage → spalling”, with the average confidence of 13%. The association analysis can be used in predicting the critical defects influencing the structural reliability and operation safety, such as water leakage, and optimizing the construction and maintenance work for the shield subway tunnel.
Keywords
shield subway tunnel; surface defects; 3D laser scanning; defect association analysis
Subject
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
